TAAABLE: A case-based reasoning system which adapts cooking recipes

TAAABLE: A case-based reasoning system which adapts cooking recipes

Emmanuelle Gaillard Jean Lieber Emmanuel Nauer 

Université de Lorraine, LORIA — 54506 Vandoeuvre-lès-Nancy, France CNRS — 54506 Vandoeuvre-lès-Nancy, France INRIA — 54602 Villers-lès-Nancy, France

Corresponding Author Email: 
prénom.nom@loria.fr
Page: 
207-235
|
DOI: 
https://doi.org/10.3166/RIA.31.207-235
Received: 
|
Accepted: 
|
Published: 
30 April 2017
| Citation
Abstract: 

TAAABLE is a Case-Based Reasoning (CBR) system that uses a recipe book as a case base to answer cooking queries. TAAABLE participates in the Computer Cooking Contest since 2008, and succeeds thanks to a smart combination of various knowledge-based system methods and techniques, such as: CBR, knowledge representation, acquisition, discovery and management, and natural language processing. In this paper, we first present the CBR engine and its features such as the retrieval process based on minimal generalization of a query and different adaptation processes. Then the knowledge containers used by the system, and how they were acquired is detailed. To conclude, we discuss some research developments resulting from this application.

Keywords: 

e-based reasoning, ontology, semantic annotation, semantic wiki, RDF(S), knowledge discovery, natural language processing

1. Introduction
2. Description du système TAAABLE
3. Le processus de remémoration
4. Processus d’adaptation
5. Gestion des conteneurs de connaissances de TAAABLE
6. Évaluation et positionnement par rapport aux systèmes concurrents.
7. Conclusion et discussion
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